Instructions to use facebook/regnet-x-006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-006 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-006") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/regnet-x-006") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-006", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f37e92ab455e3853d9e0490f1ad0e23f515fbdd7cff222ca6918f852dc6f742c
- Size of remote file:
- 25 MB
- SHA256:
- 9fa943374e3c4fb41c88a82c633e26399a47b5c6c5e94ecd2cbffab1b370e5c4
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